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Based on NLTK, productivity assistant can extract tags from text or links for a faster search memo

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dkatargin/links-tagger

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🧠 Link Tagger

Assistant which helps tag links. Supports russian and english languages.

What's works now

  • Telegram-bot recieves message
  • Extract tags from text and links
  • Return sorted and uniq tag as anwer by bot

Usage examples

Telegram Bot

About code

Code tested and work on Python 3.9 with requirements in venv. Also yon need to download NLTK packages.

NLTK Packages

  • nltk.download('averaged_perceptron_tagger') - for english words tokenize
  • nltk.download('averaged_perceptron_tagger_ru') - for russian words tokenize
  • nltk.download('crubadan') - for languade detection
  • nltk.download('punkt') - for word tokenize
  • nltk.download('omw-1.4') - for word lemma (multilang)
  • nltk.download('wordnet') - basic lemma

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Based on NLTK, productivity assistant can extract tags from text or links for a faster search memo

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